Valentin Neumann, Co-founder & CEO, Cortea AI | Slush 2025
summary
Automates audit workflows by ingesting policies, ledgers and screenshots, classifying documents, and executing checklists with traceable reasoning; a deployed AI toolbox of 20+ agents runs an example IT audit of 1,200 checks in about two hours, produces 98% reliable reproducible results with legal citations and highlights, and saves 3–4 weeks of manual work per engagement. Built with in-house auditors plus engineers, shipped to paying customers, produced thousands of hours saved and auditors joining the team.
AI-written summary · about
chapters (6)
- 0:00The problem with audits
- 1:11Inefficiencies in auditing
- 3:10Developing the solution
- 4:47Platform demonstration
- 7:35Team and future vision
- 9:38Call to action
related talks
14mAI for Web3 Security: Real-World Use Cases — Dr. Stefan Beyer
37mAI Agentic Assessments: Eliminate Manual Work & Reduce Risk
27mBuilding Generative AI features
32mBeyond the Hype: A Pragmatic Look at How Developers Actually Use AI Tools
43mNext in Privacy Innovation: AI Agents that Make Governance Scalable
44mPannel Discussion | Agentic Automation: Are AI Agents The Future of Digital Work
17mCore Process Not Chatbot – How Agentic AI Drives a Complex Compliance Workflow in the Mid-Market
29mFireside Chat: GenerativeAI & the CTO